Results 261 to 270 of about 683,409 (316)
Hybrid deep learning models for fake news detection: case study on Arabic and English languages. [PDF]
Merzah BM, Razmara J, Salmanian Z.
europepmc +1 more source
To address the problems of insufficient utilization of multiscale features and inefficient feature sharing between tasks in the model, this study proposes an edge‐enhanced intelligent cervical cancer screening method that achieves feature reuse and improves efficiency by jointly optimizing nucleolus segmentation and lesion classification.
Li Wen +4 more
wiley +1 more source
PotatoLeafNet: two-stage convolutional neural networks for effective Potato Leaf disease identification and classification. [PDF]
Bhavani GD, Chalapathi MMV.
europepmc +1 more source
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation
Ismail Ben Ayed +5 more
openalex +1 more source
Large‐scale Hopfield neural networks (HNNs) for associative computing are implemented using vertical NAND (VNAND) flash memory. The proposed VNAND HNN with the asynchronous update scenario achieve robust image restoration performance despite fabrication variations, while significantly reducing chip area (≈117× smaller than resistive random‐access ...
Jin Ho Chang +4 more
wiley +1 more source
Effect Investigation of Process Parameters on 3D Printed Composites Tensile Performance Boosted by Attention Mechanism-Enhanced Multi-Modal Convolutional Neural Networks. [PDF]
Gao Z +6 more
europepmc +1 more source
A CRDNet‐Based Watermarking Algorithm for Fused Visible–Infrared Images
CRDnet includes encoders and decoders based on residual and dense structures, a fusion network robust to 12 visible and infrared image fusion algorithms, and predictors for predicting watermarked infrared images. The encoder and decoder incorporate preprocessing steps, attention mechanisms, and activation functions suitable for infrared images.
Yu Bai +4 more
wiley +1 more source
Secure facial biometric authentication in smart cities using multimodal methodology. [PDF]
Sureshkumar A +4 more
europepmc +1 more source
This study presents a compact, three IMU wearable system that enables accurate motion capture and robust gait‐feature extraction, thereby supporting reliable machine learning‐based balance evaluation. Accurate assessment of balance is critical for fall prevention and targeted rehabilitation, particularly in older adults and individuals with ...
Seok‐Hoon Choi +8 more
wiley +1 more source

